AWS Certified DevOps Engineer Professional Exam Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

This comprehensive course is designed to prepare learners for the AWS Certified DevOps Engineer – Professional exam, combining foundational DevOps principles with hands-on experience across core AWS services. The curriculum spans 9 modules, each requiring approximately 6-8 hours of engagement, including lectures, labs, and assessments. Learners will progress from DevOps fundamentals to building end-to-end CI/CD pipelines, automating infrastructure, and implementing monitoring and security. The course concludes with a capstone project and targeted exam preparation. A total time commitment of 60–80 hours is expected, ideal for individuals with prior AWS experience aiming to master professional-level DevOps practices on AWS.

Module 1: DevOps Fundamentals & AWS Overview

Estimated time: 7 hours

  • DevOps culture and practices
  • AWS shared responsibility model
  • Key AWS services for DevOps
  • Hands-on: Set up IAM roles and baseline VPC for DevOps workflows

Module 2: Source Control & CodeCommit

Estimated time: 7 hours

  • Git fundamentals and version control
  • AWS CodeCommit repositories setup
  • Branching strategies and repository management
  • Hands-on: Migrate local Git repo to CodeCommit and configure triggers

Module 3: Build & Test with CodeBuild

Estimated time: 7 hours

  • Buildspec.yml configuration
  • Managed vs. custom build images
  • Integration of unit testing in build phase
  • Hands-on: Create CodeBuild project to compile and test a sample app

Module 4: Deployment Automation

Estimated time: 7 hours

  • CodeDeploy application and deployment groups
  • Blue/green and canary deployment strategies
  • AWS Lambda deployment techniques
  • Hands-on: Deploy to EC2 Auto Scaling groups and Lambda using CodeDeploy

Module 5: CI/CD Orchestration with CodePipeline

Estimated time: 7 hours

  • Pipeline stages and actions
  • Manual approval and integration gates
  • Cross-account CI/CD pipeline setup
  • Hands-on: Build end-to-end pipeline with CodeCommit → CodeBuild → CodeDeploy

Module 6: Infrastructure as Code

Estimated time: 7 hours

  • AWS CloudFormation templates and stacks
  • Change sets and drift detection
  • Best practices for reusable infrastructure code
  • Hands-on: Write and deploy a multi-tier CloudFormation stack

Module 7: Container & Serverless Deployments

Estimated time: 7 hours

  • Amazon ECS and EKS for container orchestration
  • Fargate serverless compute
  • ECR and Lambda packaging best practices
  • Hands-on: Containerize microservice, push to ECR, deploy on ECS Fargate

Module 8: Monitoring, Logging & Security

Estimated time: 7 hours

  • CloudWatch metrics, logs, and alarms
  • Distributed tracing with AWS X-Ray
  • Compliance with AWS Config and KMS encryption
  • Hands-on: Instrument app for tracing and set up compliance checks

Module 9: Exam Prep & Capstone Project

Estimated time: 8 hours

  • Review of AWS DevOps Professional exam blueprint
  • Practice with scenario-based questions
  • Study strategies and tips
  • Hands-on: Design, build, and present full DevOps solution on AWS

Prerequisites

  • Familiarity with AWS core services (e.g., EC2, S3, IAM)
  • Prior experience with AWS Certified Solutions Architect – Associate level concepts
  • Basic knowledge of Linux, networking, and scripting

What You'll Be Able to Do After

  • Design and implement CI/CD pipelines using AWS Developer Tools
  • Automate infrastructure provisioning with CloudFormation and AWS CDK
  • Containerize and deploy applications using ECS, EKS, and serverless Lambda
  • Implement robust monitoring, logging, and alerting with CloudWatch and X-Ray
  • Apply secure DevOps practices using IAM, KMS, and Secrets Manager
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.